build_lib.py

# This script is an 'offline' build of the core warp runtime libraries
# designed to be executed as part of CI / developer workflows, not
# as part of the user runtime (since it requires CUDA toolkit, etc)

import sys

if sys.version_info[0] < 3:
    raise Exception("Warp requires Python 3.x minimum")

import argparse
import os

import warp.config
from warp.build_dll import build_dll, find_host_compiler, set_msvc_compiler

parser = argparse.ArgumentParser(description="Warp build script")
parser.add_argument("--msvc_path", type=str, help="Path to MSVC compiler (optional if already on PATH)")
parser.add_argument("--sdk_path", type=str, help="Path to WinSDK (optional if already on PATH)")
parser.add_argument("--cuda_path", type=str, help="Path to CUDA SDK")
parser.add_argument(
    "--mode",
    type=str,
    default="release",
    help="Build configuration, default 'release'",
    choices=["release", "debug"],
)

# Note argparse.BooleanOptionalAction can be used here when Python 3.9+ becomes the minimum supported version
parser.add_argument("--verbose", action="store_true", help="Verbose building output, default enabled")
parser.add_argument("--no_verbose", dest="verbose", action="store_false")
parser.set_defaults(verbose=True)

parser.add_argument(
    "--verify_fp",
    action="store_true",
    help="Verify kernel inputs and outputs are finite after each launch, default disabled",
)
parser.add_argument("--no_verify_fp", dest="verify_fp", action="store_false")
parser.set_defaults(verify_fp=False)

parser.add_argument("--fast_math", action="store_true", help="Enable fast math on library, default disabled")
parser.add_argument("--no_fast_math", dest="fast_math", action="store_false")
parser.set_defaults(fast_math=False)

parser.add_argument("--quick", action="store_true", help="Only generate PTX code, disable CUTLASS ops")

parser.add_argument("--build_llvm", action="store_true", help="Build Clang/LLVM compiler from source, default disabled")
parser.add_argument("--no_build_llvm", dest="build_llvm", action="store_false")
parser.set_defaults(build_llvm=False)

parser.add_argument("--debug_llvm", action="store_true", help="Enable LLVM compiler code debugging, default disabled")
parser.add_argument("--no_debug_llvm", dest="debug_llvm", action="store_false")
parser.set_defaults(debug_llvm=False)

parser.add_argument("--standalone", action="store_true", help="Use standalone LLVM-based JIT compiler, default enabled")
parser.add_argument("--no_standalone", dest="standalone", action="store_false")
parser.set_defaults(standalone=True)

args = parser.parse_args()

# set build output path off this file
base_path = os.path.dirname(os.path.realpath(__file__))
build_path = os.path.join(base_path, "warp")

print(args)

warp.config.verbose = args.verbose
warp.config.mode = args.mode
warp.config.verify_fp = args.verify_fp
warp.config.fast_math = args.fast_math


# See PyTorch for reference on how to find nvcc.exe more robustly
# https://pytorch.org/docs/stable/_modules/torch/utils/cpp_extension.html#CppExtension
def find_cuda():
    # Guess #1
    cuda_home = os.environ.get("CUDA_HOME") or os.environ.get("CUDA_PATH")
    return cuda_home


# setup CUDA paths
if sys.platform == "darwin":
    warp.config.cuda_path = None

else:
    if args.cuda_path:
        warp.config.cuda_path = args.cuda_path
    else:
        warp.config.cuda_path = find_cuda()


# setup MSVC and WinSDK paths
if os.name == "nt":
    if args.sdk_path and args.msvc_path:
        # user provided MSVC
        set_msvc_compiler(msvc_path=args.msvc_path, sdk_path=args.sdk_path)
    else:
        # attempt to find MSVC in environment (will set vcvars)
        warp.config.host_compiler = find_host_compiler()

        if not warp.config.host_compiler:
            print("Warp build error: Could not find MSVC compiler")
            sys.exit(1)


# return platform specific shared library name
def lib_name(name):
    if sys.platform == "win32":
        return f"{name}.dll"
    elif sys.platform == "darwin":
        return f"lib{name}.dylib"
    else:
        return f"{name}.so"


try:
    # build warp.dll
    cpp_sources = [
        "native/warp.cpp",
        "native/crt.cpp",
        "native/cuda_util.cpp",
        "native/mesh.cpp",
        "native/hashgrid.cpp",
        "native/reduce.cpp",
        "native/runlength_encode.cpp",
        "native/sort.cpp",
        "native/sparse.cpp",
        "native/volume.cpp",
        "native/marching.cpp",
        "native/cutlass_gemm.cpp",
    ]
    warp_cpp_paths = [os.path.join(build_path, cpp) for cpp in cpp_sources]

    if warp.config.cuda_path is None:
        print("Warning: CUDA toolchain not found, building without CUDA support")
        warp_cu_path = None
    else:
        warp_cu_path = os.path.join(build_path, "native/warp.cu")

    warp_dll_path = os.path.join(build_path, f"bin/{lib_name('warp')}")

    build_dll(
        dll_path=warp_dll_path,
        cpp_paths=warp_cpp_paths,
        cu_path=warp_cu_path,
        mode=warp.config.mode,
        verify_fp=warp.config.verify_fp,
        fast_math=args.fast_math,
        quick=args.quick,
    )

    # build warp-clang.dll
    if args.standalone:
        import build_llvm

        if args.build_llvm:
            build_llvm.build_from_source(args)

        build_llvm.build_warp_clang(args, lib_name("warp-clang"))

except Exception as e:
    # output build error
    print(f"Warp build error: {e}")

    # report error
    sys.exit(1)